Company patents
NATIONAL TAIWAN UNIVERSITY
National Taiwan University, despite its strong focus on semiconductor technologies like Transistor & Device Structure (20.8% of portfolio) and Semiconductor Manufacturing Process (20.0% of portfolio), shows a surprising shift in its patent strategy with significant declines across many core semiconductor categories in 2026, such as Transistor & Device Structure (YoY -100.0%) and Integrated Circuit Layout & Arrangement (YoY -100.0%) so far in 2026. However, it continues to show an emerging focus in Memory Devices (Structural) and Memory & Storage (Static), both experiencing 90.0% YoY growth in 2025, indicating a potential pivot within its semiconductor research.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
509 US filings (since 2023) · 12 categories · 37 themes
Techniques and methodologies for fabricating semiconductor devices, including etching, deposition, annealing, isolation, and doping steps, aimed at improving yield, performance, or enabling new structures.
Development of memory cells utilizing resistive switching or phase-change materials, including novel material compositions, multi-layered structures, and integration with selector devices like bipolar junction transistors, to achieve non-volatile storage.
Focuses on the physical design, materials, and manufacturing processes for individual memory cells, including transistor structures, interconnects, and multi-layered (3D) architectures to enhance density and performance.
Manufacturing processes and structural designs for transistors utilizing fin-shaped channels or multiple gates (e.g., FinFETs, Gate-All-Around FETs) to enhance gate control and reduce short-channel effects.
Design and operation of transistors optimized for memory applications, including floating body devices, ferroelectric FETs (FeFETs), vertical TFTs for 3D arrays, and charge-trapping memory cells.
Novel materials and processes for forming low-resistance electrical contacts and interconnects within semiconductor devices, including selective deposition, silicidation, and barrier layers for improved performance and scaling.
Advanced techniques for forming and optimizing gate dielectrics, work function layers, and other dielectric layers within transistor structures to improve performance, reliability, and scaling.
Techniques for stacking multiple semiconductor dies or active layers vertically to achieve higher density and shorter interconnections, often utilizing through-silicon vias (TSVs) or other vertical conductive paths like through-hole electrodes.
Structural innovations in individual transistors, such as fin-based field-effect transistors (FinFETs), 3D gate structures, or multi-layer active regions, aimed at improving performance or density.
Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.
Focuses on the design and manufacturing of transistors where the gate material fully encircles the channel, often using nanosheets or fins, to improve electrostatic control and reduce short-channel effects.
Techniques for designing and fabricating the conductive pathways (interconnects) and their contacts between different components within an integrated circuit, focusing on density, reliability, and performance.
Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.
Incorporation of novel semiconductor, dielectric, or metallic materials into transistor structures to achieve enhanced performance, new functionalities, or specific device characteristics.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Devices leveraging superconductivity or quantum phenomena for applications such as quantum computing, high-efficiency power transmission, or sensitive detection, including materials like graphene Josephson junctions and quantum bits.
Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.
Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.
Design and implementation of non-traditional logic gates or memory elements, often leveraging new materials or device physics to achieve multi-functionality, adaptive thresholds, or higher density.
Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.
Focuses on the mechanical design, articulation, and actuation of hand-held or robotic surgical instruments, including improvements in stapling, cutting, grasping, and tissue manipulation.
Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.
Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Therapeutic interventions that target immune checkpoint pathways to either enhance or suppress immune responses, often used in cancer immunotherapy or autoimmune diseases.
Design and operation of analog and mixed-signal circuits within the memory array, such as page buffers, sense amplifiers, and data latches, responsible for reading and writing data from/to memory cells.
Integration of various sensor types (e.g., thermal, strain) or display components directly onto semiconductor substrates or within device architectures for compact and high-performance systems.
Development and manufacturing of semiconductor devices using wide bandgap materials like Silicon Carbide (SiC) or Gallium Nitride (GaN) for high-power, high-frequency, or high-temperature applications.
Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.
Techniques for forming electrical contacts, vias, and interconnects to semiconductor devices, including advanced methods like contact-over-active-gate (COAG) and backside contacts for improved density and performance.
Methods for depositing thin films with controlled conformality, thickness, and material properties, including selective deposition on specific areas, often using atomic layer deposition (ALD), chemical vapor deposition (CVD), or epitaxial growth.
Focuses on the design, fabrication, and application of piezoelectric materials and devices for sensing, actuation, or wave generation, including material properties, single crystal growth, and protective layers.
Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Therapeutic approaches involving the use of living cells, often genetically modified or ex vivo activated, to treat diseases, particularly cancer, by modulating immune responses or replacing damaged cells.
Layout, material composition, and structural arrangement of photoelectric conversion elements and associated circuitry within image sensor arrays, including infrared detectors and back-side illuminated structures.
Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.
Patents
Showing 1-8 of 8
Memory System Performance & Reliability